Directional attenuation method for traffic vibration of periodic row pile composite foundation

Abstract

The invention discloses a directional traffic vibration attenuation method for a periodic pile-in-row composite foundation, and relates to the technical field of traffic vibration control and foundation treatment.The method comprises the specific steps that firstly, prefabricated modular pile bodies integrating various sensors and hydraulic adjusting assemblies are arranged at preset pile positions; continuously collecting various types of traffic vibration data; transmitting to a terminal for processing, and extracting a waveform category and a load dominant frequency parameter; according to the driving assembly, wave division type regulation and control are carried out, and pile row period parameters are dynamically optimized to form double matching; and finally finishing site construction deployment. According to the invention, traffic vibration data are comprehensively and accurately captured, and the problems of incomplete data acquisition, inaccurate waveform identification and the like in the prior art are solved; a double-matching mechanism is constructed, directional regulation and dynamic adjustment of piling parameters are performed according to different wave modes, the matching degree is made to reach 90% or above, automatic optimization and targeted attenuation of different types of traffic vibration can be achieved, the vibration attenuation effect is ensured to be stable and directional, and the limitation of the prior art is broken through.

Description

Technical Field

[0001] This invention relates to the field of traffic vibration control and foundation treatment technology, specifically a method for directional attenuation of traffic vibration on a periodic pile composite foundation. Background Technology

[0002] With the acceleration of urbanization, the spatial distance between transportation infrastructure such as highways and railways and building projects is constantly shortening. Vibrations caused by traffic loads are transmitted through the foundation soil, which has a significant impact on surrounding precision instruments and equipment, ancient buildings, residents' living environment and the stability of underground structures. This has become a key issue restricting the efficient use of urban space. Periodic pile composite foundations have been initially applied in the field of vibration isolation due to their advantages such as regular structure and convenient construction. However, their core requirement is to achieve directional and efficient attenuation of different types of traffic vibration waves in order to adapt to complex and ever-changing traffic load conditions.

[0003] Existing vibration attenuation technology for periodic pile composite foundations has significant limitations: First, the piles are mostly fixed structures, lacking adjustable components, making it impossible to target the vibration wave propagation characteristics for specific control. It relies solely on a single structural parameter for passive isolation, resulting in poor attenuation targeting. Second, the sensors are scattered and have limited functionality, making it difficult to simultaneously collect vibration wave type, frequency, amplitude, and load dynamic data. Furthermore, the data transmission delay is high, failing to meet real-time control requirements. Third, the data processing methods lack accurate analysis capabilities for broadband traffic vibration signals, resulting in low wave type identification accuracy and susceptibility to environmental interference in load frequency extraction, leading to insufficient matching between the pile band gap and the load's main frequency. Fourth, the control methods focus only on adjusting a single parameter, failing to establish a dual matching mechanism between wave type characteristics and the main frequency parameter, resulting in unstable vibration attenuation effects and weak adaptability.

[0004] The shortcomings of the existing technologies mentioned above make it difficult for periodic pile composite foundations to achieve directional and efficient attenuation of traffic vibrations in practical applications. This fails to meet the vibration control requirements of complex traffic scenarios, hindering their widespread application in vibration-sensitive areas such as urban core areas and precision equipment manufacturing plants. Therefore, developing an integrated, intelligent, and targeted directional attenuation technology for traffic vibrations using periodic pile composite foundations has become an urgent technical challenge to be solved in this field. Summary of the Invention

[0005] The purpose of this invention is to overcome the shortcomings of existing technologies and provide a method and system for directional attenuation of traffic vibration in a periodic pile composite foundation. This involves deploying prefabricated modular piles that integrate multiple sensors, including vibration waveform recognition sensors, and multi-dimensional hydraulic adjustment components. Then, various types of traffic vibration data are collected in real time and transmitted to an edge computing terminal. After processing with algorithms such as wavelet transform, waveform categories and load dominant frequency characteristic parameters are extracted. Subsequently, the drive components are used to perform waveform-based directional control, dynamically adjusting the pile cycle parameters to achieve dual matching. Finally, on-site construction deployment is completed.

[0006] To solve the above-mentioned technical problems, this invention provides the following technical solution: a method for directional attenuation of traffic vibration in a periodic pile composite foundation, the specific steps of which are as follows:

[0007] S100, Modular Pile Layout: At the preset pile positions of the periodic pile composite foundation, prefabricated modular piles integrating vibration waveform recognition sensors, load monitoring sensors and multi-dimensional hydraulic adjustment components are laid out.

[0008] S200, Real-time acquisition of multiple parameters: Through vibration waveform recognition sensors and load monitoring sensors, it continuously collects vibration waveform data, vibration frequency data, vibration amplitude data and load dynamic data generated by traffic vibration;

[0009] S300, Data Processing and Feature Extraction: The collected data of various types are transmitted to the edge computing terminal. Wavelet transform algorithm is used to convert the vibration wave pattern data from time domain to frequency domain. Vibration wave pattern category is identified by feature vector matching algorithm, and load main frequency feature parameters are extracted simultaneously.

[0010] S400, Waveform Control and Periodic Parameter Optimization: By identifying the waveform type and extracting the load main frequency characteristic parameters, the multi-dimensional hydraulic adjustment component is driven to perform waveform directional control action, while dynamically adjusting the pile row period parameters to achieve a dual match between the pile row gap and the load main frequency and vibration waveform characteristics.

[0011] The S500 deploys the construction of periodic pile composite foundations by assembling prefabricated modular piles on site, integrating sensors and hydraulic adjustment components, and combining them with hydraulic adjustment channels pre-installed inside the piles.

[0012] Furthermore, the prefabricated modular pile includes a pile body, a switchable section module, a pile top damping pad, and a multi-dimensional hydraulic adjustment component. The pile body is prefabricated using high-strength concrete, with internally reserved hydraulic adjustment channels and sensor wiring channels. The switchable section module has an asymmetrical rhomboid structure, is processed using high-strength alloy materials, and is detachably connected to the pile body by bolts. The pile top damping pad has a fan-shaped structure with a pressure sensing unit embedded inside. The vibration wave pattern recognition sensor is a triaxial accelerometer used to capture vibration wave propagation signals in different directions. The load monitoring sensor is a strain gauge load sensor used to monitor the magnitude of the dynamic load borne by the pile top.

[0013] Furthermore, the multi-dimensional hydraulic adjustment component includes an inclination adjustment hydraulic rod, a cross-section switching hydraulic drive, and a damping pad adjustment hydraulic pump. The inclination adjustment hydraulic rod is symmetrically arranged on both sides of the lower part of the pile body, with one end connected to the pile body and the other end connected to the pre-embedded support in the foundation. The extension and retraction of the hydraulic rod is controlled by the inflow and outflow of hydraulic oil to adjust the inclination angle of the pile body. The cross-section switching hydraulic drive is built into the pile body, and its output end is connected to the switchable cross-section module. The linear reciprocating motion of the hydraulic drive drives the switchable cross-section module to rotate around the pile axis, realizing the switching of different reflective surfaces. The damping pad adjustment hydraulic pump is connected to the built-in pressure chamber of the damping pad at the top of the pile through a hydraulic pipeline. The output pressure of the hydraulic pump is controlled to change the compression of the damping pad, thereby adjusting its compaction degree and contact area with the superstructure.

[0014] Furthermore, during the real-time acquisition of multiple parameters, the acquisition frequency of the vibration waveform recognition sensor is set to 100Hz to 200Hz to ensure the capture of traffic vibration wave signals in the range of 5Hz to 50Hz; the measurement range of the load monitoring sensor covers 0kN to 100kN, with a measurement accuracy of ±0.5kN, which can accurately reflect the dynamic fluctuations of the load; the data sampling interval of all sensors is uniformly set to 5ms to 10ms, and the acquired data is transmitted to the edge computing terminal in real time via wired transmission, with a transmission delay of no more than 20ms.

[0015] Furthermore, in the data processing and feature extraction process, the specific steps of the wavelet transform algorithm for time-domain to frequency-domain conversion of vibration waveform data are as follows: First, a triaxial accelerometer deployed in the lower part of the prefabricated modular pile is used to capture the pile vibration response under traffic vibration at a sampling frequency of 100Hz-200Hz, obtaining the continuous time-domain raw signal f(t). This signal undergoes DC component removal and 5Hz high-pass filtering to remove environmental interference and static drift. The processed signal is still denoted as f(t), where t is the time variable. Second, the wavelet transform algorithm is executed, with the specific formula as follows: ,in, The wavelet transform coefficients reflect the vibration energy intensity at a specific scale a and time τ, and are used to distinguish the propagation direction of the vibration wave, which is the key basis for subsequent identification of longitudinal and transverse waves; a is the scale factor, which controls the scaling of the wavelet basis function and is negatively correlated with the vibration frequency. The translation factor controls the position of the wavelet basis function on the time axis to ensure that the complete time history collected by the sensor is covered and that no instantaneous vibration signals are missed. This is the energy normalization factor, used to eliminate the influence of the scale factor 'a' on the amplitude of the transform coefficients, ensuring the comparability of the amplitudes of vibration signals in different frequency ranges; f The vibration wave time-domain signal is preprocessed, and its numerical change directly corresponds to the fluctuation of the pile vibration acceleration. The wavelet basis functions are scaled and translated, suitable for extracting broadband signal features of traffic vibration; t is the time variable; finally, the obtained wavelet transform coefficients are... The data is processed to output the frequency domain amplitude distribution data of the vibration waveform, providing feature support for subsequent waveform identification.

[0016] Furthermore, the feature vector matching algorithm is used to identify vibration wave type categories. The specific steps include: First, extracting the feature vector of the vibration wave type to be identified. From the wavelet-transformed vibration wave frequency domain data, extracting three core feature parameters adapted to the periodic pile composite foundation—vibration wave velocity v in the prefabricated modular pile, amplitude attenuation coefficient k of the vibration wave propagating 1m along the pile body, and wave type symmetry parameter s of the vibration time domain signal. These parameters are then arranged in order to form the feature vector to be identified. ,in , , Secondly, through indoor model tests and field measurements of periodic pile composite foundations, standard characteristic parameters corresponding to common traffic vibration longitudinal waves, transverse waves, and surface waves were obtained, and standard characteristic vectors—longitudinal wave standard vectors—were formed respectively. standard vector of transverse waves Surface wave standard vector The components of each standard vector and the feature vector to be identified The components correspond one-to-one; next, the matching distance between the feature vector to be identified and each standard feature vector is calculated using the Euclidean distance formula, which is: ,in, The feature vector to be identified With the The matching distance of the class standard feature vectors; the smaller the value, the higher the matching degree. The feature vector to be identified The One component; For the first The first class of standard feature vectors Each component was determined from the test data of the periodic pile composite foundation; To sum the component differences of the three core feature parameters; finally, compare... , , Choose the smallest value from the numerical values. The corresponding waveform is used as the currently identified vibration waveform category.

[0017] Furthermore, the extraction process of the load dominant frequency characteristic parameters is as follows: the edge computing terminal first performs noise reduction processing on the frequency domain data after wavelet transform to remove clutter frequency components caused by environmental interference, and then generates a vibration power spectrum through power spectral density analysis. The peak point with the highest power value in the spectrum is located and its corresponding frequency is recorded as the initial dominant frequency. Subsequently, the fluctuation amplitude and mean of the initial dominant frequency are calculated by combining the frequency domain data of 5 consecutive acquisition cycles. Stable frequencies with fluctuation amplitude less than 15% of the mean are selected as the final load dominant frequency. The vibration amplitude and duration corresponding to the dominant frequency are extracted simultaneously to form a load dominant frequency characteristic parameter set containing the dominant frequency value, dominant frequency amplitude, and dominant frequency stability coefficient.

[0018] Furthermore, the specific process of wave pattern control and period parameter optimization is as follows: First, the edge computing terminal receives the feature extraction results, obtains the dominant wave pattern category and load frequency parameters, and simultaneously retrieves the hydraulic component status and current pile cycle parameters; Second, during longitudinal waves, the terminal commands the tilt angle adjustment hydraulic rod to extend and retract to adjust the pile tilt angle; during transverse waves, the drive section module rotates to make the asymmetric reflecting surface face the incoming wave direction; during surface waves, the cushion layer compression state is adjusted to optimize energy absorption, and the sensor provides real-time feedback on the control status; Then, the terminal determines the pile band gap target based on the load frequency and wave pattern characteristics, compares the current pile spacing and pile body spacing with the target, and commands the displacement actuator to translate the pile body to complete the parameter adjustment; Next, the sensor collects vibration data after control, and the terminal analyzes the compatibility between the pile band gap and the load frequency and wave pattern characteristics. If the target is not met, the relevant parameters are fine-tuned and repeated verification is performed until the dual matching requirements are met; Finally, after the matching is achieved, the parameters are locked, and the terminal continuously monitors the vibration data. When the load frequency or wave pattern changes abruptly, a new round of optimization is immediately initiated.

[0019] Furthermore, the multi-dimensional hydraulic adjustment component performs wave-type directional control. The specific execution logic of the wave-type directional control is as follows: When the edge computing terminal identifies the vibration wave type as a longitudinal wave, it controls the extension and retraction of the tilt angle adjustment hydraulic rod to adjust the pile tilt angle to 5° to 15°. This tilt angle direction is consistent with the vibration wave propagation direction. Utilizing the characteristic of longitudinal waves propagating along the pile axis, the longitudinal wave energy is guided to be transmitted to the deep foundation layer, and the energy is dissipated through the damping effect of the deep soil. When the vibration wave type is identified as a transverse wave, it controls the action of the cross-section switching hydraulic drive component to drive the asymmetric rhomboid cross-section module to rotate, so that the plane containing the short diagonal of the module faces the direction of the incoming vibration wave. Utilizing the reflection characteristics of the asymmetric structure, the transverse wave energy is reflected to a direction away from the protected area. When the vibration wave type is identified as a surface wave, it controls the output pressure of the damping pad adjustment hydraulic pump to adjust the compaction degree of the pile top fan-shaped damping pad to 0.5 to 0.85. At the same time, according to the energy distribution range of the surface wave, the contact area of ​​the pad is adjusted to ensure that the contact area between the pad and the superstructure covers the main action area of ​​the surface wave.

[0020] Furthermore, the specific steps for dynamically adjusting the pile cycle parameters to achieve a dual match between the pile band gap and the load dominant frequency and vibration wave characteristics are as follows: First, the terminal matches the wave type, load dominant frequency, and wave type-wave velocity library to determine the wave propagation speed in the piles and foundation soil. It then determines the target range of the band gap according to the adaptation criteria and corrects the boundary threshold t based on the wave propagation direction, forming a dual-matching target. Second, the terminal obtains the current cycle parameters through the displacement monitoring unit and compares the current band gap with the matching target. Finally, the terminal outputs instructions according to the deviation type to drive... When the dynamic displacement actuator operates—if the frequency deviation is the primary factor, the pile body is moved to adjust the pile spacing; if the waveform deviation is the primary factor, the pile spacing is finely adjusted. The displacement sensor provides real-time position feedback, and the terminal corrects commands to prevent overshoot. Next, the sensor collects vibration data after adjustment, and the terminal calculates the frequency matching degree and waveform adaptation degree. If both reach 90% or above, the parameters are locked. If they do not meet the standard, the adjustment and verification are repeated until the dual matching requirements are met. Finally, the terminal continuously monitors the main frequency and waveform. If the main frequency fluctuation exceeds ±10% or the waveform changes, a new round of parameter adjustment is immediately initiated to maintain a stable matching state.

[0021] Compared with existing technologies, this method for directional attenuation of traffic vibration in a periodic pile composite foundation has the following advantages:

[0022] I. This invention integrates vibration waveform recognition sensors, load monitoring sensors, and multi-dimensional hydraulic adjustment components into prefabricated modular pile bodies. Combined with a multi-parameter real-time acquisition mechanism with a sampling frequency of 100Hz-200Hz, it achieves comprehensive and accurate capture of traffic vibration-related data. The sensors simultaneously collect vibration waveform, frequency, amplitude, and load dynamic data, which are transmitted to the edge computing terminal via wired connection. The transmission delay is controlled within 20ms to ensure data real-time performance. A wavelet transform algorithm is used to complete the time-domain to frequency-domain conversion, filtering out environmental interference and static drift. Then, a feature vector matching algorithm is used to extract core parameters such as vibration wave velocity, amplitude attenuation coefficient, and waveform symmetry. Comparison with standard feature vectors achieves accurate waveform identification. At the same time, stable load dominant frequency characteristic parameters are extracted through power spectral density analysis, providing accurate data support for subsequent control. This solves the problems of incomplete data acquisition, inaccurate waveform identification, and interference in dominant frequency extraction in existing technologies.

[0023] II. Based on the identified wave type and load dominant frequency characteristic parameters, this invention constructs a dual matching mechanism of wave type directional control and pile cycle parameter optimization. For longitudinal waves, the pile body tilt angle is adjusted by 5°-15° using a tilt-adjusting hydraulic rod to guide energy conduction and dissipation into the deeper foundation layers. For transverse waves, the asymmetric rhomboid cross-section module is driven to rotate, reflecting energy away from the protected area. For surface waves, the compaction degree of the damping pad at the pile top is adjusted to 0.5-0.85 and the contact area is optimized to enhance energy absorption. Simultaneously, the pile spacing and pile body spacing are dynamically adjusted to achieve a dual match between the pile gap and the load dominant frequency and wave type characteristics, with a matching degree of over 90%. Furthermore, a new round of optimization is automatically initiated when the load dominant frequency fluctuation exceeds ±10% or when the wave type changes. This achieves targeted attenuation of different types of traffic vibrations, ensuring the stability and directionality of the vibration attenuation effect, and overcoming the limitations of existing technologies with single control and low matching degree.

[0024] Other advantages, objectives and features of the invention will be set forth in part in the description which follows, and in part will be apparent to those skilled in the art from the following examination or study, or may be learned from the practice of the invention. Attached Figure Description

[0025] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the accompanying drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are merely some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without any creative effort.

[0026] Figure 1 A flowchart illustrating the steps of a method for directional attenuation of traffic vibrations on a periodic pile composite foundation.

[0027] Figure 2 A schematic diagram illustrating the transmission of traffic vibrations in a periodic pile composite foundation directional attenuation method;

[0028] Figure 3 The flowchart shows the data processing and feature extraction process for a method of directional attenuation of traffic vibrations in a periodic pile composite foundation. Detailed Implementation

[0029] To further illustrate the technical means and effects of the present invention in achieving its intended purpose, the following detailed description of the specific implementation methods, structures, features, and effects of the present invention, in conjunction with the accompanying drawings and preferred embodiments, is provided below.

[0030] Example 1

[0031] In the specific implementation process, such as Figure 1 As shown, vibration attenuation of periodic pile composite foundation in residential areas next to urban main roads.

[0032] Precast modular piles are deployed at the pre-set pile locations in the community foundation. The main body of the pile is precast with high-strength concrete to ensure the overall load-bearing capacity and stability of the pile. Internally, hydraulic adjustment channels and sensor wiring channels are reserved, providing a smooth path for subsequent installation of hydraulic components and transmission of sensor signals. The switchable section module uses an asymmetrical rhomboid structure, processed from high-strength alloy materials, combining durability and structural adaptability. It is detachably connected to the main body of the pile via bolts, facilitating maintenance and replacement based on vibration changes. A fan-shaped damping pad is installed on the pile top, with a pressure sensing unit embedded inside to detect changes in contact pressure in real time, providing data support for pad adjustment. The vibration waveform recognition sensor uses a triaxial accelerometer, capable of capturing vibration wave propagation signals from different directions in all directions, ensuring no blind spots in waveform capture. The load monitoring sensor uses a strain gauge load sensor, which can accurately monitor the dynamic load on the pile top, providing reliable data for subsequent load analysis. The multi-dimensional hydraulic adjustment component includes an inclination adjustment hydraulic rod, a cross-section switching hydraulic drive, and a damping pad adjustment hydraulic pump. The inclination adjustment hydraulic rod is symmetrically arranged on both sides of the lower part of the pile body. One end is fixedly connected to the pile body, and the other end is reliably connected to the pre-embedded support in the foundation, providing stable support for precise adjustment of the pile inclination angle.

[0033] The vibration waveform identification sensor and load monitoring sensor were activated to conduct real-time multi-parameter data acquisition. The acquisition frequency of the vibration waveform identification sensor was set to 150Hz, which precisely covers the traffic vibration wave signal range of 5Hz to 50Hz, ensuring complete capture of various vibration wave details. The strain gauge load sensor's measurement range covers 0kN to 100kN, with measurement accuracy controlled within ±0.5kN, accurately reflecting the dynamic fluctuations of the load and avoiding load data deviations. The data sampling interval of all sensors was uniformly set to 8ms to shorten the data acquisition interval and capture instantaneous vibration changes. The acquired vibration waveform data, vibration frequency data, vibration amplitude data, and load dynamic data were transmitted to the edge computing terminal in real time via wired transmission, with the transmission delay strictly controlled to not exceed 20ms, ensuring that the data is delivered to the terminal for processing in a timely manner and without delaying subsequent control actions.

[0034] After receiving various data transmitted from the sensors, the edge computing terminal first performs DC component removal and 5Hz high-pass filtering on the continuous time-domain raw signal acquired by the triaxial accelerometer to effectively filter out environmental interference and static drift, ensuring signal purity. Then, a wavelet transform algorithm is used to perform time-domain to frequency-domain conversion on the processed time-domain signal. The specific formula is as follows: ,in, The wavelet transform coefficients reflect the vibration energy intensity at a specific scale a and time τ, and are used to distinguish the propagation direction of the vibration wave, which is the key basis for subsequent identification of longitudinal and transverse waves; a is the scale factor, which controls the scaling of the wavelet basis function and is negatively correlated with the vibration frequency. The translation factor controls the position of the wavelet basis function on the time axis to ensure that the complete time history collected by the sensor is covered and that no instantaneous vibration signals are missed. This is the energy normalization factor, used to eliminate the influence of the scale factor 'a' on the amplitude of the transform coefficients, ensuring the comparability of the amplitudes of vibration signals in different frequency ranges; f The vibration wave time-domain signal is preprocessed, and its numerical change directly corresponds to the fluctuation of the pile vibration acceleration. The wavelet basis function is a stretched and translated function, suitable for extracting broadband signal features of traffic vibration; t is the time variable. The time-domain signal, which is difficult to analyze directly, is transformed into frequency-domain data with easily identifiable features, yielding frequency-domain amplitude distribution data of the vibration waveform, providing core feature support for subsequent waveform identification. Next, a feature vector matching algorithm is used to identify the vibration waveform category, extracting three core feature parameters of the waveform to be identified, forming the feature vector to be identified. Then, the standard feature vectors of P-waves, S-waves, and surface waves obtained through indoor model tests and field measurements are used, and the matching distance is calculated using the Euclidean distance formula: ,in, The feature vector to be identified With the The matching distance of the class standard feature vectors; the smaller the value, the higher the matching degree. The feature vector to be identified The One component; For the first The first class of standard feature vectors Each component was determined from the test data of the periodic pile composite foundation; To sum the differences in the components of the three core characteristic parameters, the current dominant vibration wave type is quickly and accurately determined to be a transverse wave and a surface wave, providing a clear direction for wave type regulation. Simultaneously, the edge computing terminal denoises the frequency domain data after wavelet transform, generates a vibration power spectrum through power spectral density analysis, locates the peak point with the highest power value in the spectrum as the initial dominant frequency, and calculates the fluctuation amplitude and mean of the initial dominant frequency by combining frequency domain data from five consecutive acquisition cycles. Stable frequencies with fluctuation amplitudes less than 15% of the mean are selected as the final load dominant frequency. The vibration amplitude and duration corresponding to this dominant frequency are extracted simultaneously, forming a complete set of load dominant frequency characteristic parameters, providing a precise basis for period parameter optimization.

[0035] Based on the waveform identification results and load dominant frequency characteristic parameters, the edge computing terminal drives the multi-dimensional hydraulic adjustment components to perform waveform-specific directional control actions. For shear waves, the control section switching hydraulic drive unit is activated, causing the asymmetric rhomboid section module to rotate around the pile axis, so that the plane containing the short diagonal of the module faces the direction of the incoming wave from the main road. Utilizing the reflection characteristics of the asymmetric structure, the shear wave energy is reflected to an area far from the residential area, reducing the impact of the shear wave on the residential buildings. For surface waves, the output pressure of the damping pad hydraulic pump is controlled to adjust the compaction degree of the fan-shaped damping pad at the top of the pile to 0.65. At the same time, according to the energy distribution range of the surface wave, the contact area between the pad and the superstructure is adjusted to ensure that the contact area of ​​the pad completely covers the main area of ​​action of the surface wave, maximizing the absorption of surface wave energy. Simultaneously, periodic parameters are optimized. The terminal matches the wave type, load dominant frequency, and preset wave type-velocity library to determine the wave propagation speed in the piles and foundation soil. The target range of the band gap is determined according to the adaptation criteria, and the boundary threshold t is adjusted based on the wave propagation direction, forming a dual-matching target that ensures precise adaptation between the piles and vibration characteristics. Periodic parameters such as current pile spacing and pile body spacing are obtained through the displacement monitoring unit. The current band gap is compared with the dual-matching target. Since the primary issue is wave type deviation, the terminal outputs commands to drive the displacement actuator to fine-tune the pile body spacing. Displacement sensors provide real-time feedback on pile position information, and the terminal promptly corrects the commands to avoid overshoot and ensure parameter adjustment accuracy. Sensors collect the adjusted vibration data, and the terminal calculates the frequency matching degree and wave type adaptation degree. When both reach 90% or higher, the current parameters are locked to ensure stable attenuation. The terminal continuously monitors vibration data. If the load dominant frequency fluctuation exceeds ±10% or the vibration wave type changes, a new round of parameter adjustment is immediately initiated to ensure that the pile band gap maintains a dual match with the load dominant frequency and vibration wave type characteristics, continuously exerting its attenuation effect.

[0036] A professional construction team was organized to assemble the prefabricated modular piles on-site, ensuring that the main pile body and the switchable section modules were firmly connected by bolts, with no loose gaps at the joints, thus guaranteeing the overall structural stability of the piles. Vibration waveform recognition sensors and load monitoring sensors were installed in their designed and calibrated positions. Sensor wiring passed through the pre-reserved wiring channels in the pile body, and the wiring was properly secured and protected to prevent damage during construction and ensure stable signal transmission. Multi-dimensional hydraulic adjustment components were integrated and installed, ensuring reliable connection between the tilt adjustment hydraulic rod and the pre-embedded support in the foundation, precise docking of the section switching hydraulic drive component with the switchable section module, and effective communication between the damping pad adjustment hydraulic pump and the built-in pressure chamber of the damping pad at the top of the pile through hydraulic pipelines. Pipeline joints were well-sealed and leak-free, ensuring smooth operation of the hydraulic components. After construction, a comprehensive inspection was conducted on the installation quality, signal transmission stability, and collaborative working status of all components. Based on the pre-set construction plan, the overall deployment of the periodic pile composite foundation was completed, ensuring the continuous and stable operation of the vibration attenuation system and providing long-term protection against traffic vibration interference for residential buildings.

[0037] In summary, this embodiment addresses the traffic vibration problem in residential areas along urban main roads by achieving directional vibration attenuation through a complete five-step process. Modular pile deployment lays the hardware foundation for system operation; real-time multi-parameter acquisition ensures comprehensive and accurate data; the application of wavelet transform and eigenvector matching algorithms enables precise identification of wave types and load dominant frequencies; wave type control and period parameter optimization allow for targeted dissipation and reflection of vibration energy; and standardized construction deployment ensures stable system operation. Figure 2 As shown, the entire process is closely integrated, fully adapting to the vibration characteristics of the surrounding community, which are mainly shear waves and surface waves, effectively reducing the impact of traffic vibrations on residential buildings and creating a stable and comfortable living environment for residents.

[0038] Example 2

[0039] In the specific implementation process, vibration attenuation of the composite foundation of periodic piles for precision instrument factories near highways is achieved.

[0040] Precast modular piles were systematically installed according to the pre-designed pile positions in the factory foundation engineering. The main body of the pile was precast with high-strength concrete to ensure sufficient load-bearing strength and stability. Ample hydraulic adjustment channels and sensor wiring channels were reserved internally to meet the needs of multi-component integrated installation and signal transmission. The switchable section module has an asymmetrical rhomboid structure, processed from high-strength alloy materials, combining high strength and fatigue resistance. It is detachably connected to the main body of the pile via bolts, facilitating future maintenance and adjustments based on vibration conditions. A fan-shaped damping pad is installed on the pile top, with a pressure sensing unit embedded inside to monitor the stress state of the pad in real time, providing data support for precise adjustment of pad parameters. The vibration waveform recognition sensor uses a triaxial accelerometer to capture vibration wave propagation signals from different directions, ensuring no vibration information is missed. The load monitoring sensor uses a strain gauge load sensor to accurately monitor the dynamic load changes on the pile top, providing high-precision data for load characteristic analysis. The tilt adjustment hydraulic rods in the multi-dimensional hydraulic adjustment assembly are symmetrically arranged on both sides of the lower part of the pile body. One end is fixed to the pile body, and the other end is firmly connected to the pre-embedded support in the foundation to ensure the stability of the pile tilt adjustment. The cross-section switching hydraulic drive is built into the pile body, and the output end is tightly connected to the switchable cross-section module to ensure the precise rotation of the module. The damping pad adjustment hydraulic pump is connected to the built-in pressure chamber of the damping pad at the top of the pile through hydraulic pipelines to ensure smooth hydraulic drive and flexible adjustment of pad parameters.

[0041] The sensor system is activated for real-time acquisition of multiple parameters. The acquisition frequency of the vibration waveform recognition sensor is set to 180Hz, higher than the upper limit of the core vibration frequency band, ensuring comprehensive capture of highway traffic vibration wave signals within the range of 5Hz to 50Hz, without missing high-frequency vibration details. The strain gauge load sensor has a measurement range covering 0kN to 100kN, with a measurement accuracy maintained at ±0.5kN, accurately capturing the dynamic fluctuation details of the load and providing a reliable data foundation for subsequent load main frequency extraction. The data sampling interval of all sensors is uniformly set to 6ms to shorten the sampling interval and capture instantaneous vibration changes. The acquired vibration waveform data, vibration frequency data, vibration amplitude data, and load dynamic data are transmitted to the edge computing terminal in real time via wired transmission, with the transmission delay strictly controlled to not exceed 20ms, ensuring that the data is delivered to the terminal for processing in a timely manner and guaranteeing the real-time nature of the control actions.

[0042] After receiving sensor data, the edge computing terminal first performs DC component removal and 5Hz high-pass filtering on the raw time-domain signal acquired by the triaxial accelerometer to filter out environmental interference and static drift, obtaining a clean time-domain signal and avoiding clutter from affecting subsequent analysis results. Then, a wavelet transform algorithm is used to perform time-domain to frequency-domain conversion on the processed time-domain signal, transforming it into frequency-domain amplitude distribution data, clearly presenting the frequency characteristics of the vibration wave and providing key feature basis for wave type identification. Next, a feature vector matching algorithm is used to identify the vibration wave type, extracting three core feature parameters of the vibration wave type to be identified, forming the feature vector to be identified; calling the standard feature vectors of P-waves, S-waves, and surface waves obtained through indoor model experiments and field measurements, and calculating the matching distance using the Euclidean distance formula, the current dominant vibration wave type is quickly and accurately determined to be a P-wave or S-wave, providing a clear direction for targeted control. Simultaneously, the edge computing terminal denoises the wavelet-transformed frequency domain data, generates a vibration power spectrum through power spectral density analysis, locates the peak point with the highest power value as the initial dominant frequency, and calculates the fluctuation amplitude and mean of the initial dominant frequency by combining frequency domain data from five consecutive acquisition cycles. Stable frequencies with fluctuation amplitudes less than 15% of the mean are selected as the final load dominant frequency. The vibration amplitude and duration corresponding to this dominant frequency are extracted simultaneously, forming a complete set of load dominant frequency characteristic parameters, providing accurate data support for period parameter optimization, such as... Figure 3 As shown.

[0043] Based on the identification results and load dominant frequency characteristic parameters, the edge computing terminal drives the multi-dimensional hydraulic adjustment components to perform wave pattern-specific directional control. For longitudinal waves, the tilt angle adjustment hydraulic rod is extended and retracted to adjust the pile tilt angle to 10°. This tilt angle is consistent with the longitudinal wave propagation direction, guiding the longitudinal wave energy to be transmitted to the deep foundation layer. The damping effect of the deep soil layer is used to dissipate the energy and reduce the impact of the longitudinal wave on the factory foundation. For transverse waves, the cross-section switching hydraulic drive is activated to rotate the asymmetric rhomboid cross-section module, so that the plane containing the short diagonal of the module faces the direction of the incoming wave from the highway. The reflection characteristics of the asymmetric structure reflect the transverse wave energy to an area far away from the factory, avoiding interference with precision instruments. Simultaneously, periodic parameter optimization is carried out. The terminal matches the wave pattern type, load dominant frequency, and wave pattern-wave velocity library to determine the wave propagation speed in the pile and foundation soil. The band gap target range is determined according to the adaptation criteria, and the boundary threshold t is corrected according to the wave pattern propagation direction to form a dual matching target, ensuring a high degree of adaptation between the pile characteristics and vibration parameters. The current pile spacing and pile body spacing are obtained through the displacement monitoring unit. The current band gap is compared with the dual-matching target. Since frequency deviation and waveform deviation both have a certain impact, the terminal first outputs a command to drive the displacement actuator to translate the pile body to adjust the pile spacing to match the load's main frequency. Then, the pile body spacing is fine-tuned to match the waveform characteristics. The displacement sensor provides real-time feedback on the pile body position, and the terminal corrects the command in a timely manner to avoid overshoot and ensure the accuracy of parameter adjustment. The sensor collects the adjusted vibration data, and the terminal calculates the frequency matching degree and waveform adaptation degree. When both reach 90% or above, the current parameters are locked to ensure stable vibration attenuation. The terminal continuously monitors the vibration data. If the load's main frequency fluctuates by more than ±10% or the vibration waveform changes, a new round of parameter adjustment is immediately started to ensure that the pile band gap and the load's main frequency and vibration waveform characteristics always maintain a dual match, meeting the stringent requirements of precision instruments for the vibration environment.

[0044] Construction personnel were organized to assemble the prefabricated modular piles on-site, ensuring a secure bolted connection between the pile body and the switchable section modules, with assembly accuracy meeting design requirements, thus guaranteeing the overall structural stability and reliability of the piles. Vibration waveform recognition sensors and load monitoring sensors were installed and fixed in their preset positions. Sensor wiring passed through pre-reserved wiring channels within the pile body, with proper marking and protection to prevent signal interference and ensure accurate sensor data acquisition. Multi-dimensional hydraulic adjustment components were integrated and installed, ensuring a tight connection between the tilt adjustment hydraulic rod and the pre-embedded foundation support, coordinated movement between the section switching hydraulic drive and the switchable section modules, and a well-sealed connection between the damping pad adjustment hydraulic pump and the hydraulic pipeline, guaranteeing timely response from the hydraulic components. Throughout the construction process, the installation accuracy and operational status of the components were monitored. After all components were installed, system integration testing was conducted to ensure accurate sensor data acquisition, timely hydraulic component response, efficient edge computing terminal processing, and fault-free collaborative operation of all components. Based on the construction plan, the overall deployment of the periodic pile composite foundation was completed, ensuring the vibration attenuation system could function continuously and stably, providing a stable vibration environment for the precision instrument factory and guaranteeing production operation accuracy.

[0045] In summary, this embodiment focuses on the vibration protection needs of precision instrument factories near highways, constructing a vibration attenuation system through a standardized five-step process. Modular pile deployment provides robust and adaptable hardware support; real-time multi-parameter acquisition ensures comprehensive and accurate vibration data; wavelet transform and eigenvector matching algorithms achieve precise identification of wave types and load frequencies; wave type control and period parameter optimization target the dissipation and reflection of vibration energy; and standardized construction deployment ensures the system's coordinated and efficient operation. This entire method fully adapts to the vibration characteristics of the factory's surroundings, where both longitudinal and transverse waves coexist, effectively controlling vibration interference, meeting the stringent requirements of precision instruments for vibration environments, and providing reliable assurance for production operation accuracy.

[0046] The above description is merely a preferred embodiment of the present invention and is not intended to limit the present invention in any way. Although the present invention has been disclosed above with reference to preferred embodiments, it is not intended to limit the present invention. Any person skilled in the art can make some modifications or alterations to the above-disclosed technical content to create equivalent embodiments without departing from the scope of the present invention. Any simple modifications, equivalent changes and alterations made to the above embodiments based on the technical essence of the present invention without departing from the scope of the present invention shall still fall within the scope of the present invention.

Claims

1. A method for directional attenuation of traffic vibrations in a composite foundation with periodic row piles, characterized in that, The method comprises: S100, modular pile body layout: at the preset pile position of the periodic pile composite foundation, a prefabricated modular pile body integrating a vibration wave type identification sensor, a load monitoring sensor and a multi-dimensional hydraulic adjusting assembly is laid out; S200, multi-parameter real-time acquisition: through the vibration wave type identification sensor and the load monitoring sensor, vibration wave type data, vibration frequency data, vibration amplitude data and load dynamic data generated by traffic vibration are continuously acquired; S300, data processing and feature extraction: the acquired various types of data are transmitted to an edge computing terminal, a wavelet transform algorithm is used to convert the vibration wave type data in time domain to frequency domain, a feature vector matching algorithm is used to identify the vibration wave type category, and load main frequency characteristic parameters are synchronously extracted; S400, wave type regulation and control and periodic parameter optimization: through the identified wave type category and the extracted load main frequency characteristic parameters, the multi-dimensional hydraulic adjusting assembly is driven to perform directional regulation and control actions according to the wave type, and meanwhile, the pile arrangement period parameters are dynamically adjusted, so that the pile arrangement band gap is matched with the load main frequency and the vibration wave type characteristics; S500, through the field assembly of the prefabricated modular pile body, the integrated installation of the sensor and the hydraulic adjusting assembly, and the hydraulic adjusting channel preset in the pile body, the construction of the periodic pile composite foundation is deployed.

2. The method for directional attenuation of traffic vibrations of a periodic row-pile composite foundation according to claim 1, characterized in that, In step S100, the prefabricated modular pile body comprises a pile body, a switchable cross-section module, a pile top damping pad layer and a multi-dimensional hydraulic adjusting assembly, the pile body is prefabricated from high-strength concrete, and a hydraulic adjusting channel and a sensor wiring channel are reserved inside; the switchable cross-section module is of an asymmetric rhombus structure and is processed from high-strength alloy material and detachably connected to the pile body through bolts; the pile top damping pad layer is of a fan structure and internally embedded with a pressure sensing unit; the vibration wave type identification sensor is a three-axis acceleration sensor for capturing vibration wave propagation signals in different directions; and the load monitoring sensor is a strain load sensor for monitoring the dynamic load size borne by the pile top.

3. The method for directional attenuation of traffic vibrations of a periodic row-pile composite foundation according to claim 1, characterized in that, In step S100, the multi-dimensional hydraulic adjusting assembly comprises an inclination adjusting hydraulic rod, a cross-section switching hydraulic drive and a damping pad layer adjusting hydraulic pump, the inclination adjusting hydraulic rod is symmetrically arranged on both sides of the lower part of the pile body, one end of the inclination adjusting hydraulic rod is connected to the pile body, and the other end of the inclination adjusting hydraulic rod is connected to a foundation embedded support; the cross-section switching hydraulic drive is internally built in the pile body, and an output end of the cross-section switching hydraulic drive is connected to the switchable cross-section module; and the damping pad layer adjusting hydraulic pump is in communication with the built-in pressure cavity of the pile top damping pad layer through a hydraulic pipeline.

4. The method of claim 1, wherein, In step S200, during the multi-parameter real-time acquisition process, the acquisition frequency of the vibration wave type identification sensor is set to 100Hz to 200Hz; the measurement range of the load monitoring sensor covers 0kN to 100kN; the data sampling interval of all sensors is uniformly set to 5ms to 10ms, and the acquired data is transmitted in real time to the edge computing terminal through a wired transmission mode.

5. The method for directional attenuation of traffic vibrations of a periodic row-pile composite foundation according to claim 1, characterized in that, In step S300, the specific steps of wavelet transform algorithm for time-frequency conversion of vibration wave data in the data processing and feature extraction process are as follows: first, the three-axis acceleration sensor arranged in the middle and lower part of the prefabricated modular pile is used to capture the pile vibration response under traffic vibration with a collection frequency of 100Hz-200Hz, and a continuous time domain original signal f(t) is obtained. The signal is subjected to direct current component removal and 5Hz high-pass filtering to filter out environmental interference and static drift. The processed signal is still denoted as f(t), wherein t is the time variable; secondly, the wavelet transform algorithm is executed, and the specific formula is: wherein, is the wavelet transform coefficient; a is the scale factor; is the translation factor; is the energy normalization factor; f is the pre-processed vibration wave time domain signal; is the wavelet base function after stretching and translation; t is the time variable; finally, the obtained wavelet transform coefficient is processed, and the frequency domain amplitude distribution data of the vibration wave is output.

6. The method of cyclic pile composite foundation traffic vibration directional attenuation according to claim 1, characterized in that, In step S300, the feature vector matching algorithm is used to identify the vibration wave pattern category, and the specific steps include: first, extracting the feature vector of the vibration wave pattern to be identified, from the wavelet transformed vibration wave frequency domain data, extracting three core feature parameters suitable for periodic pile composite foundation—vibration wave speed v in prefabricated modular pile body, amplitude attenuation coefficient k of vibration wave propagation 1m along pile body, and wave pattern symmetry parameter s of vibration time domain signal, and sequentially grouping the above parameters to form the feature vector to be identified , wherein , , ; secondly, through indoor model test and field measurement of periodic pile composite foundation, the standard feature parameters corresponding to the common longitudinal wave, transverse wave and surface wave of traffic vibration are obtained, and the standard feature vectors—longitudinal wave standard vector , transverse wave standard vector , and surface wave standard vector are formed, respectively, and the components of each standard vector correspond to the components of the feature vector to be identified ; then, the Euclidean distance formula is used to calculate the matching distance of the feature vector to be identified and each standard feature vector, and the formula is: , wherein is the matching distance of the feature vector to be identified and the standard feature vector of the th class; is the th component of the feature vector to be identified ; is the th component of the standard feature vector of the th class; is the sum of the component differences of the three core feature parameters; finally, the numerical values of , , are compared, and the wave pattern corresponding to the smallest is selected as the vibration wave pattern category to be identified.

7. The method for periodic row-pile composite foundation traffic vibration directional attenuation according to claim 1, characterized in that, In step S300, the extraction process of the load main frequency characteristic parameter is as follows: the edge computing terminal first denoises the frequency domain data after wavelet transform, eliminates the clutter frequency components caused by environmental interference, and then generates a vibration power spectrum by power spectrum density analysis, locates the peak point with the highest power value in the spectrum and records the corresponding frequency as the initial main frequency, and then combines the frequency domain data of the continuous 5 acquisition cycles to calculate the fluctuation amplitude and mean value of the initial main frequency, and selects the stable frequency with a fluctuation amplitude less than 15% of the mean value as the final load main frequency, synchronously extracts the vibration amplitude and duration corresponding to the main frequency, and forms a load main frequency characteristic parameter set including the main frequency value, main frequency amplitude and main frequency stability coefficient.

8. The cyclic pile composite foundation traffic vibration directional attenuation method according to claim 1, characterized in that, In step S400, the specific process of the wave type regulation and cycle parameter optimization is as follows: first, the edge computing terminal receives the feature extraction result, obtains the dominant wave type category and load main frequency parameter, and synchronously calls the hydraulic component state and the current pile arrangement cycle parameter; second, when the longitudinal wave, the terminal instructs the inclination adjustment hydraulic rod to stretch and retract to adjust the pile inclination angle, when the transverse wave, the asymmetric reflection surface is driven to rotate by the section module to face the wave direction, and when the surface wave, the pad compression state is adjusted to optimize the energy absorption, and the sensor feedbacks the regulation state in real time; then, the terminal determines the pile arrangement band gap target according to the load main frequency and wave type characteristics, compares the differences between the current pile spacing and pile spacing, and instructs the displacement actuator to translate the pile body to complete parameter adjustment; next, the sensor collects the vibration data after regulation, the terminal analyzes the adaptation degree of the pile arrangement band gap to the load main frequency and wave type characteristics, and if it does not meet the requirements, the related parameters are adjusted and verified repeatedly until the double matching requirements are met; finally, the parameters are locked after the matching meets the requirements, and the terminal continuously monitors the vibration data, and when the load main frequency or wave type mutates, a new round of optimization is started.

9. The cyclic pile composite foundation traffic vibration directional attenuation method according to claim 1, characterized in that, In step S400, the driving multi-dimensional hydraulic adjustment assembly performs the wave type directional regulation action, and the specific execution logic of the wave type directional regulation is as follows: when the edge computing terminal identifies the vibration wave type as a longitudinal wave, the inclination adjustment hydraulic rod is controlled to stretch and retract, and the pile body inclination angle is adjusted to 5° to 15°; when the vibration wave type is identified as a transverse wave, the section switching hydraulic drive part is controlled to act, and the asymmetric rhombus section module is rotated to make the short diagonal line plane of the module face the vibration wave direction, and the reflection characteristics of the asymmetric structure are used to reflect the transverse wave energy to the direction away from the protection area; when the vibration wave type is identified as a surface wave, the damping pad adjustment hydraulic pump is controlled to output pressure, and the compaction degree of the pile top fan-shaped damping pad is adjusted to 0.5 to 0.

85.

10. The method of claim 1, wherein, In step S400, the dynamic adjustment of the pile arrangement period parameter is used to form a double matching of the load main frequency and the vibration wave type characteristics with the band gap. The specific steps are as follows: first, the terminal matches the wave type category, the load main frequency and the wave type-wave speed library, determines the target range of the band gap according to the adaptation criteria, and corrects the boundary threshold t according to the wave type propagation direction to form a double matching target; second, the terminal obtains the current period parameter through the displacement monitoring unit, compares the current band gap with the matching target; then, the terminal outputs the instruction according to the deviation type, drives the displacement actuator to act, the frequency deviation is the main translation pile body to change the pile spacing, the wave type deviation is the main fine adjustment of the pile spacing, the displacement sensor real-time feedback position, and the terminal corrects the instruction to prevent over-adjustment; then, the sensor collects the adjusted vibration data, the terminal calculates the frequency matching degree and the wave type adaptation degree, and locks the parameter when both reach 90% or more, otherwise, the adjustment and verification are repeated until the double matching requirements are met; finally, the terminal continuously monitors the main frequency and the wave type, and if the main frequency fluctuates more than ±10% or the wave type switches, a new round of parameter adjustment is started immediately to maintain the stability of the matching state.

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